Mass Appr Flashcards

1
Q

Also none as continuous are based on measurements or count for example size, sq ft of living space, or number of bathrooms.Tends to be objective and verifiable

A

Quantitative Variables

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2
Q

Qualitative Variables

A

data or variables also termed as categorical or discrete represent property features or attributes that fall into predefined categories, examples are construction grade,condition, building style, and type of heating and cooling. Data collectors normally assign codes for such features from a predefined list.

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3
Q

Binary variables

A

represents the presence or absence of a feature for example waterfront lot, corner lotm, air conditioning, or swimming pool. Binary modeling is an effective way for modelers to determine contribution

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4
Q

COV

is based in the raw units of the variable being analyzed such as sq ft of lving area or dollars of sale price

A

1 Divide the standard deviation by the mean

2 Multiply by 100

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5
Q

Standard deviation

A

1 Subtract the mean from ea value
2 Square the differrences (squared # always have positive signs)
3 Sum the squared difference
4 divide by the sample size less one (n-i) to obtain the variance
5 Compute the square root of the variance to obtain the standard deviation

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6
Q

Binary Transformations

A

Also referred to as dummy variables, reflect the presence or absence of an attribute. If present code 1 if absent code 0

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7
Q

scalar transformations

A

another approach to incorporating qualitative data. poor=-1.50, fair =-.0.80 etc

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8
Q

Multiplicative Transformation

A

Sq ft of living area by construction quality

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9
Q

Measures of Central tendency

A

Measures of the center, or average, of data. The common measures are mode, median and mean

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10
Q

Trimmed Mean

A

Becuase of the potential for the mean to be overly influence by extreme values.
Delete the lowest and the highest 10 percent values and the 5 percent trimmed mean disregards the lowest and highest 5 percent values

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11
Q

Measures of Spread

A

minimum the smallest value in the array
maximum the largest value
range the difference between the maximum and the minimum value

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12
Q

Average Deviation

A

measures the spread, or difference between each value and a chosen measure of central tendency, generally the median

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13
Q

Average deviation of median

A

1 Subtract the median from each value
2 Tate the absolute values fo the difference (drop negative sign)
3 Sum the sign - ignore the differences
4 Divide by the sample size

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14
Q

What is a sales of assessment ratio

A

R=A/S Ratio =assessed value divided by sale

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15
Q

What do ratio studies measure

A

two primary aspects of mass apprasal accuracy: level of valuation and uniformity of values.

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16
Q

Weighted mean
1 sum the apraised values fo the sample
2 sum the sale prices for the sample
3 divide the total of the appraised values by the total of the sale prices

A

also know as the aggregate mean, dollar weighted mean, or ratio of the aggregates

17
Q

Price related fifferential PRD

Divide the mean ratio by the weighted mean

A

A special aspect of appraisal uniformity relates to equality in the appraisal of low and high valued properties

18
Q

Regressive

A

if high value properties are underappraised relative to low valued properties

19
Q

Progressive

A

If high value properties are relatively over appraised.